MANOVA(Multivariate Analysis of Variance) using R {https://t.co/nae2wc4h04} #rstats #DataScience
— R-bloggers (@Rbloggers) November 23, 2021
How to Build Interactive Google Maps With R Shiny – A Complete Guide {https://t.co/3GTNDbCwEg} #rstats #DataScience
— R-bloggers (@Rbloggers) November 23, 2021
How to go from R to nice tables in Microsoft Word {https://t.co/56kqx2sTrE} #rstats #DataScience
— R-bloggers (@Rbloggers) November 24, 2021
Principal Component Analysis: a brief intro for biologists {https://t.co/tsQxOZEGgT} #rstats #DataScience
— R-bloggers (@Rbloggers) November 24, 2021
Application of Bayes Theorem in R {https://t.co/ufygfKCdVq} #rstats #DataScience
— R-bloggers (@Rbloggers) November 21, 2021
Publication-ready tables with flextable and own theme in R {https://t.co/yMkLazl4fC} #rstats #DataScience
— R-bloggers (@Rbloggers) November 26, 2021
Creating your google chat R bot in under 5 minutes {https://t.co/u2Z3tVGbpF} #rstats #DataScience
— R-bloggers (@Rbloggers) November 25, 2021
How to Perform Univariate Analysis in R {https://t.co/3fuZMOf7CG} #rstats #DataScience
— R-bloggers (@Rbloggers) November 20, 2021
Likelihood Ratio Test in R with Example {https://t.co/aJQFObDj6a} #rstats #DataScience
— R-bloggers (@Rbloggers) November 24, 2021
Backstage: The Hitchhiker’s Guide to Responsible Machine Learning {https://t.co/DRUSArcOOg} #rstats #DataScience
— R-bloggers (@Rbloggers) November 23, 2021
New R job: Postdoctoral Research Associate in Public Health Simulation and Data Science https://t.co/2i1KU8s8zE #rstats #DataScience #jobs
— R-bloggers (@Rbloggers) November 26, 2021
I got my first package onto CRAN, and YOU CAN TOO {https://t.co/GCBzCZTimA} #rstats #DataScience
— R-bloggers (@Rbloggers) November 24, 2021
MANOVA(Multivariate Analysis of Variance) using R {https://t.co/nae2wc4h04} #rstats #DataScience
— R-bloggers (@Rbloggers) November 23, 2021
How to Build Interactive Google Maps With R Shiny – A Complete Guide {https://t.co/3GTNDbCwEg} #rstats #DataScience
— R-bloggers (@Rbloggers) November 23, 2021
How to go from R to nice tables in Microsoft Word {https://t.co/56kqx2sTrE} #rstats #DataScience
— R-bloggers (@Rbloggers) November 24, 2021
Top R Packages for Visualizing Table Data – Make Stunning Tables in Minutes {https://t.co/hiZC5N5X39} #rstats #DataScience
— R-bloggers (@Rbloggers) November 2, 2021
Ditch p-values. Use Bootstrap confidence intervals instead {https://t.co/YKlOp4v7p5} #rstats #DataScience
— R-bloggers (@Rbloggers) November 9, 2021
Cluster analysis using R {https://t.co/l3pWgoJ8Rn} #rstats #DataScience
— R-bloggers (@Rbloggers) November 17, 2021
Chi-Square test using R {https://t.co/pnPsJcWnTk} #rstats #DataScience
— R-bloggers (@Rbloggers) November 15, 2021
Analysis of Covariance (ANCOVA) using R {https://t.co/W7V7OJNi4R} #rstats #DataScience
— R-bloggers (@Rbloggers) November 14, 2021
R Shiny Apps in 100 Seconds {https://t.co/ytJjXmLdA6} #rstats #DataScience
— R-bloggers (@Rbloggers) November 18, 2021
Principal Component Analysis: a brief intro for biologists {https://t.co/tsQxOZEGgT} #rstats #DataScience
— R-bloggers (@Rbloggers) November 24, 2021
Random Forest in R {https://t.co/Xd10FF5xvb} #rstats #DataScience
— R-bloggers (@Rbloggers) November 15, 2021
Pearson correlation in R {https://t.co/krDYaGcM91} #rstats #DataScience
— R-bloggers (@Rbloggers) November 15, 2021
---
title: "RBloggers Top Tweets"
output:
flexdashboard::flex_dashboard:
vertical_layout: scroll
source_code: embed
theme:
version: 4
bootswatch: yeti
css: styles/main.css
---
```{r setup, include=FALSE}
library(flexdashboard)
library(dplyr)
library(httr)
library(lubridate)
library(jsonlite)
library(purrr)
rbloggers <- fromJSON("data/rbloggers.json")
get_tweet_embed <- function(user, status_id) {
url <-
stringr::str_glue(
"https://publish.twitter.com/oembed?url=https://twitter.com/{user}/status/{status_id}&partner=&hide_thread=false"
)
response <- GET(url) %>%
content()
return(shiny::HTML(response$html))
}
```
Column {.tabset .tabset-fade}
-----------------------------------------------------------------------
### Top Tweets - 7 days {.tweet-wall}
```{r}
rblog_7 <- rbloggers %>%
mutate(created_at = as_date(created_at)) %>%
filter(created_at %within% interval(start = today() - 7, end = today())) %>%
slice_max(favorite_count + retweet_count, n = 12)
rblog_7_html <-
map2_chr(rblog_7$screen_name, rblog_7$status_id, get_tweet_embed)
shiny::HTML(stringr::str_glue("{rblog_7_html}"))
```
### Top Tweets - 30 days {.tweet-wall}
```{r}
rblog_30 <- rbloggers %>%
mutate(created_at = as_date(created_at)) %>%
filter(created_at %within% interval(start = today() - 30, end = today())) %>%
slice_max(favorite_count + retweet_count, n = 12)
rblog_30_html <-
map2_chr(rblog_30$screen_name, rblog_30$status_id, get_tweet_embed)
shiny::HTML(stringr::str_glue("{rblog_30_html}"))
```